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https://www.readbyqxmd.com/read/28227895/a-fabric-wrist-patch-sensor-for-continuous-and-comprehensive-monitoring-of-the-cardiovascular-system
#1
Kwonjoon Lee, Kiseok Song, Taehwan Roh, Hoi-Jun Yoo, Kwonjoon Lee, Kiseok Song, Taehwan Roh, Hoi-Jun Yoo, Kwonjoon Lee, Kiseok Song, Taehwan Roh, Hoi-Jun Yoo
The wrist patch-type ECG/APW sensor system is proposed for continuous and comprehensive monitoring of the patient's cardiovascular system. The wrist patch-type ECG/APW sensor system is consists of ECG/APW sensor, ECG/APW electrodes, and base station for real-time monitoring of the patient's status. The ECG/APW sensor and electrodes are composed of wrist patch, bandage-type ECG electrode and fabric APW electrode, respectively so that the patient's cardiovascular system can be continuously monitored in daily life with free hand-movement...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227735/tracking-driver-s-heart-rate-by-continuous-wave-doppler-radar
#2
Kwang Jin Lee, Chanki Park, Boreom Lee, Kwang Jin Lee, Chanki Park, Boreom Lee, Chanki Park, Kwang Jin Lee, Boreom Lee
Developing driving safety system with medical assistance devices for preventing accidents has become a major social issue in recent year. These devices have been developed using electrocardiogram (ECG) and photoplethysmogram (PPG) for measuring the heart rate (HR). However, driver should directly contact with the sensor for monitoring the HR. Recently, non-contact system based on continuous-wave Doppler radar has widely studied for monitoring HR. The periodogram by Fast Fourier Transform (FFT) was used for estimating HR...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227728/comparison-between-users-of-a-new-methodology-for-heart-sound-auscultation
#3
Ana Castro, Pedro Gomes, Sandra S Mattos, Miguel T Coimbra, Ana Castro, Pedro Gomes, Sandra S Mattos, Miguel T Coimbra, Ana Castro, Sandra S Mattos, Pedro Gomes, Miguel Y Coimbra
Auscultation is a routine exam and the first line of screening in heart pathologies. The objective of this study was to assess if using a new data collection system, the DigiScope Collector, with a guided and automatic annotation of heart auscultation, different levels of expertise/experience users could collect similar digital auscultations. Data were collected within the Heart Caravan Initiative (Paraíba, Brasil). Patients were divided into two study groups: Group 1 evaluated by a third year medical student (User 1), and an experienced nurse (User 2); Group 2 evaluated by User 2 and an Information Technology professional (User 3)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227715/bivariate-autoregressive-state-space-modeling-of-psychophysiological-time-series-data
#4
Daniel M Smith, Mohammadreza Abtahi, Amir Mohammad Amiri, Kunal Mankodiya, Daniel M Smith, Mohammadreza Abtahi, Amir Mohammad Amiri, Kunal Mankodiya, Kunal Mankodiya, Daniel M Smith, Mohammadreza Abtahi, Amir Mohammad Amiri
Heart rate (HR) and electrodermal activity (EDA) are often used as physiological measures of psychological arousal in various neuropsychology experiments. In this exploratory study, we analyze HR and EDA data collected from four participants, each with a history of suicidal tendencies, during a cognitive task known as the Paced Auditory Serial Addition Test (PASAT). A central aim of this investigation is to guide future research by assessing heterogeneity in the population of individuals with suicidal tendencies...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227712/a-preliminary-study-of-a-running-speed-based-heart-rate-prediction-during-an-incremental-treadmill-exercise
#5
Dae-Geun Jang, Byung-Hoon Ko, Sub Sunoo, Sang-Seok Nam, Hun-Young Park, Sang-Kon Bae, Dae-Geun Jang, Byung-Hoon Ko, Sub Sunoo, Sang-Seok Nam, Hun-Young Park, Sang-Kon Bae, Byung-Hoon Ko, Sang-Kon Bae, Sub Sunoo, Dae-Geun Jang, Hun-Young Park, Sang-Seok Nam
This preliminary study investigates feasibility of a running speed based heart rate (HR) prediction. It is basically motivated from the assumption that there is a significant relationship between HR and the running speed. In order to verify the assumption, HR and running speed data from 217 subjects of varying aerobic capabilities were simultaneously collected during an incremental treadmill exercise. A running speed was defined as a treadmill speed and its corresponding heart rate was calculated by averaging the last one minute HR values of each session...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227705/an-affordable-cuff-less-blood-pressure-estimation-solution
#6
Monika Jain, Niranjan Kumar, Sujay Deb, Monika Jain, Niranjan Kumar, Sujay Deb, Monika Jain, Sujay Deb, Niranjan Kumar
This paper presents a cuff-less hypertension pre-screening device that non-invasively monitors the Blood Pressure (BP) and Heart Rate (HR) continuously. The proposed device simultaneously records two clinically significant and highly correlated biomedical signals, viz., Electrocardiogram (ECG) and Photoplethysmogram (PPG). The device provides a common data acquisition platform that can interface with PC/laptop, Smart phone/tablet and Raspberry-pi etc. The hardware stores and processes the recorded ECG and PPG in order to extract the real-time BP and HR using kernel regression approach...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227613/sleep-stage-classification-by-non-contact-vital-signs-indices-using-doppler-radar-sensors
#7
Masayuki Kagawa, Kazuki Suzumura, Takemi Matsui, Masayuki Kagawa, Kazuki Suzumura, Takemi Matsui, Kazuki Suzumura, Takemi Matsui, Masayuki Kagawa
Disturbed sleep has become more common in recent years. To improve the quality of sleep, undergoing sleep observation has gained interest as a means to resolve possible problems. In this paper, we evaluate a non-restrictive and non-contact method for classifying real-time sleep stages and report on its potential applications. The proposed system measures heart rate (HR), heart rate variability (HRV), body movements, and respiratory signals of a sleeping person using two 24-GHz microwave radars placed beneath the mattress...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227604/non-invasive-heart-rate-monitoring-system-using-giant-magneto-resistance-sensor
#8
Kubera Kalyan, Vinit Kumar Chugh, C S Anoop, Kubera Kalyan, Vinit Kumar Chugh, C S Anoop, Vinit Kumar Chugh, Kubera Kalyan, C S Anoop
A simple heart rate (HR) monitoring system designed and developed using the Giant Magneto-Resistance (GMR) sensor is presented in this paper. The GMR sensor is placed on the wrist of the human and it provides the magneto-plethysmographic signal. This signal is processed by the simple analog and digital instrumentation stages to render the heart rate indication. A prototype of the system has been built and test results on 26 volunteers have been reported. The error in HR estimation of the system is merely 1 beat per minute...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227536/a-pilot-study-on-the-neurometric-evaluation-of-effective-and-ineffective-antismoking-public-service-announcements
#9
Giulia Cartocci, Enrica Modica, Dario Rossi, Anton Giulio Maglione, Isotta Venuti, Giulia Rossi, Elena Corsi, Fabio Babiloni, Giulia Cartocci, Enrica Modica, Dario Rossi, Anton Giulio Maglione, Isotta Venuti, Giulia Rossi, Elena Corsi, Fabio Babiloni, Enrica Modica, Isotta Venuti, Giulia Rossi, Fabio Babiloni, Anton Giulio Maglione, Dario Rossi, Elena Corsi, Giulia Cartocci
Tobacco use is the leading cause of preventable death and smoking-related illness worldwide. Research has shown that antismoking advertising may help reduce this habit. Nowadays, public service announcements (PSAs) are considered "Effective" or "Ineffective" on the base of official reports concerning behavioral/attitudinal changes toward healthier patterns and health-related savings following the exposure to the PSA. In this pilot study, we described the results of the use of three neurometric indexes for the evaluation of the efficacy of a couple of antismoking PSAs in a reduced sample of voluntary participants...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227354/non-contact-robust-heart-rate-estimation-using-hsv-color-model-and-matrix-based-iir-filter-in-the-face-video-imaging
#10
Dongrae Cho, Boreom Lee, Dongrae Cho, Boreom Lee, Dongrae Cho, Boreom Lee
The heart rate (HR) is one of the important indicators for observing the patient condition. Therefore, many estimation techniques for acquiring heart rate have been developed. The photoplethysmography (PPG) and electrocardiography (ECG) are the common measurement techniques for estimating the heart rate. However, they should contact on the human skin in order to estimate the accurate heart rate. In this paper, we propose a non-contact robust heart rate measurement method using a webcam device. In addition, we evaluated the performance of the proposed algorithm in comparison with other algorithms...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227347/an-eemd-pca-approach-to-extract-heart-rate-respiratory-rate-and-respiratory-activity-from-ppg-signal
#11
Mohammod Abdul Motin, Chandan Kumar Karmakar, Marimuthu Palaniswami, Mohammod Abdul Motin, Chandan Kumar Karmakar, Marimuthu Palaniswami, Marimuthu Palaniswami, Mohammod Abdul Motin, Chandan Kumar Karmakar
The pulse oximeter's photoplethysmographic (PPG) signals, measure the local variations of blood volume in tissues, reflecting the peripheral pulse modulated by cardiac activity, respiration and other physiological effects. Therefore, PPG can be used to extract the vital cardiorespiratory signals like heart rate (HR), respiratory rate (RR) and respiratory activity (RA) and this will reduce the number of sensors connected to the patient's body for recording vital signs. In this paper, we propose an algorithm based on ensemble empirical mode decomposition with principal component analysis (EEMD-PCA) as a novel approach to estimate HR, RR and RA simultaneously from PPG signal...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227272/heart-rate-monitoring-from-wrist-type-ppg-based-on-singular-spectrum-analysis-with-motion-decision
#12
Yang Wang, Zhiwen Liu, Bin Dong, Yang Wang, Zhiwen Liu, Bin Dong, Yang Wang, Zhiwen Liu, Bin Dong
Heart rate (HR) monitoring is necessary for daily healthcare. Wrist-type photoplethsmography (PPG) is a convenient and non-invasive technique for HR monitoring. However, motion artifacts (MA) caused by subjects' movements can extremely interfere the results of HR monitoring. In this paper, we propose a high accuracy method using motion decision, singular spectrum analysis (SSA) and spectral peak searching for daily HR estimation. The proposed approach was evaluated on 8 subjects under a series of different motion states...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227270/deep-learning-framework-for-detection-of-hypoglycemic-episodes-in-children-with-type-1-diabetes
#13
Phyo Phyo San, Sai Ho Ling, Hung T Nguyen, Phyo Phyo San, Sai Ho Ling, Hung T Nguyen, Sai Ho Ling, Hung T Nguyen, Phyo Phyo San
Most Type 1 diabetes mellitus (T1DM) patients have hypoglycemia problem. Low blood glucose, also known as hypoglycemia, can be a dangerous and can result in unconsciousness, seizures and even death. In recent studies, heart rate (HR) and correct QT interval (QTc) of the electrocardiogram (ECG) signal are found as the most common physiological parameters to be effected from hypoglycemic reaction. In this paper, a state-of-the-art intelligent technology namely deep belief network (DBN) is developed as an intelligent diagnostics system to recognize the onset of hypoglycemia...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227200/obstructive-sleep-apnea-severity-estimation-fusion-of-speech-based-systems
#14
D Ben Or, E Dafna, A Tarasiuk, Y Zigel, D Ben Or, E Dafna, A Tarasiuk, Y Zigel, A Tarasiuk, Y Zigel, E Dafna
Obstructive sleep apnea (OSA) is a common sleep-related breathing disorder. Previous studies associated OSA with anatomical abnormalities of the upper respiratory tract that may be reflected in the acoustic characteristics of speech. We tested the hypothesis that the speech signal carries essential information that can assist in early assessment of OSA severity by estimating apnea-hypopnea index (AHI). 198 men referred to routine polysomnography (PSG) were recorded shortly prior to sleep onset while reading a one-minute speech protocol...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227076/analysis-of-blood-pressure-signal-in-patients-with-different-ventricular-ejection-fraction-using-linear-and-non-linear-methods
#15
Andres Arcentales, Patricio Rivera, Pere Caminal, Andreas Voss, Antonio Bayes-Genis, Beatriz F Giraldo, Andres Arcentales, Patricio Rivera, Pere Caminal, Andreas Voss, Antonio Bayes-Genis, Beatriz F Giraldo, Pere Caminal, Antonio Bayes-Genis, Andres Arcentales, Patricio Rivera, Beatriz F Giraldo, Andreas Voss
Changes in the left ventricle function produce alternans in the hemodynamic and electric behavior of the cardiovascular system. A total of 49 cardiomyopathy patients have been studied based on the blood pressure signal (BP), and were classified according to the left ventricular ejection fraction (LVEF) in low risk (LR: LVEF>35%, 17 patients) and high risk (HR: LVEF≤35, 32 patients) groups. We propose to characterize these patients using a linear and a nonlinear methods, based on the spectral estimation and the recurrence plot, respectively...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227072/short-term-assessment-of-autonomic-nervous-system-as-a-potential-tool-to-quantify-pain-experience
#16
Arto J Hautala, Jaro Karppinen, Tapio Seppanen, Arto J Hautala, Jaro Karppinen, Tapio Seppanen, Jaro Karppinen, Arto J Hautala, Tapio Seppanen
Various pain conditions may result in altered autonomic nervous system regulation. We evaluated whether autonomic regulation, analyzed with short-term heart rate variability (HRV), differs between low back pain (LBP) patients and healthy controls. Additionally, we tested if short-term HRV recordings are feasible and informative in planning home monitoring of LBP patients. The study population consisted of 16 volunteers (8 LBP patients and 8 healthy subjects) (age 42±10 years, body mass index 26±4 kg/m(2), 7 men and 9 women)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227071/real-time-modelling-of-heart-rate-response-during-exercise-using-a-novel-constrained-parameter-estimation-method
#17
Ahmadreza Argha, Lin Ye, Steven W Su, Hung Nguyen, Branko G Celler, Ahmadreza Argha, Lin Ye, Steven W Su, Hung Nguyen, Branko G Celler, Steven W Su, Hung Nguyen, Ahmadreza Argha, Lin Ye, Branko G Celler
This paper is devoted to the problem of real-time heart rate (HR) response modelling during treadmill exercise. A novel recursive constrained parameter estimation method is developed which in contrast to the conventional parameter estimation schemes (e.g. recursive least squares (RLS) method) can avoid the occurrence of the so-called blowup phenomena. By incorporation of a weighting upon 1) parameter variation relative to a priori HR response knowledge, 2) one-step parameter variation, into the objective function, an estimation scheme is obtained that in the absence of exciting data can avoid blowup...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227070/heart-rate-regulation-during-cycle-ergometer-exercise-using-damped-parameter-estimation-method
#18
Ahmadreza Argha, Lin Ye, Steven W Su, Hung Nguyen, Branko G Celler, Ahmadreza Argha, Lin Ye, Steven W Su, Hung Nguyen, Branko G Celler, Steven W Su, Hung Nguyen, Ahmadreza Argha, Lin Ye, Branko G Celler
This paper is devoted to the problem of heart rate regulation using a model-based control strategy and a realtime damped parameter estimation scheme. The controller is a time-varying integral sliding mode controller. A recursive damped parameter estimation method is also developed, by incorporation of a weighting upon the one-step parameter variation, which in contrast to the conventional parameter estimation schemes (e.g. recursive least squares (RLS) method) can avoid the occurrence of the so-called blowup phenomena...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227055/hrv4training-large-scale-longitudinal-training-load-analysis-in-unconstrained-free-living-settings-using-a-smartphone-application
#19
Marco Altini, Oliver Amft, Marco Altini, Oliver Amft, Oliver Amft, Marco Altini
We describe an approach to support athletes at various fitness levels in their training load analysis using heart rate (HR) and heart rate variability (HRV). A smartphone-based application (HRV4Training) was developed that captures heart activity over one to five minutes using photoplethysmography (PPG) and derives HR and HRV features. HRV4Training integrated a guide for an early morning spot measurement protocol and a questionnaire to capture self-reported training activity. The smartphone application was made publicly available for interested users to quantify training effect...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226991/noninvasive-health-condition-monitoring-device-for-workers-at-high-altitudes-conditions
#20
Pablo Aqueveque, Cristopher Gutierrez, Francisco Saavedra, Esteban J Pino, Pablo Aqueveque, Cristopher Gutierrez, Francisco Saavedra, Esteban J Pino, Cristopher Gutierrez, Francisco Saavedra, Pablo Aqueveque, Esteban J Pino
This work presents the design and implementation of a continuous monitoring device to control the health state of workers, for instance miners, at high altitudes. The extreme ambient conditions are harmful for peoples' health; therefore a continuous control of the workers' vital signs is necessary. The developed system includes physiological variables: electrocardiogram (ECG), respiratory activity and body temperature (BT), and ambient variables: ambient temperature (AT) and relative humidity (RH). The noninvasive sensors are incorporated in a t-shirt to deliver a functional device, and maximum comfort to the users...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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